Job Title

Job Responsibilities:Perform IT system architecture design, new technology research, and provide recommendation.Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.).Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues.Build and implement the features and services of an intelligent device control platform on Kubernetes (K8S) environmentBuild multiple data connectivity capabilityPerform cloud native microservices design and build service library for workflow pipeline integration.Design solution architecture for non-stop services upgrade and operationImplement service message exchange with new technologyBuild and implement the features and services of Big Data analytic platform on high availability NoSQL DB (e.g.: Cassandra, HDFS, S3/MinIO, MariaDB, MongoDB etc.) on K8s environment.Build small data lake initially then enlarge for company data lakeBuild small image/video lake initially then enlargedesign platform operational toolkit to conduct DevOps practice and ensure qualityWork with product/Business teams to assist for legacy system refactoring if anyWilling to learn new IT technology, perform new technology research and can provide the recommendation. Participate in cross-functional initiatives to enhance production efficiency and quality.Essential Attributes:B.S. degree and above in Computer Science, Electrical Engineering, Mechanical Engineering or related fields (Information Engineering, Information Management, Data engineering, Applied Mathematics, Robot/Automation....etc).Experience in Hadoop ecosystem and SQL NoSQL databases.Experience in TypeScript/JavaScript, Kotlin, Java, F#, C/C++/C#, Rust, SQL or other relevant programming languagesBig Data Solutions development, data pipelines for batch and streaming applications.Having experience in database technical skillFamiliar with source code version control tools or services like Git, GitLab, GitHub, … etcHaving experience with DevOps technical quality control processes and CI/CD tool chainKnowledge of object stores for image and semi/unstructured data.Metadata management, data quality assurance, data security and governance, and new data technology evaluation and enablement.Strong analytical, problem solving, and organizational skills.Self-motivated with the ability to work under minimal supervision.Good communication and interpersonal skills with proactive problem-solving capabilityCritical thinker, detail oriented, high aptitude, and a good team player.Educational Qualification:B.S. degree and above in Computer Science, Electrical Engineering, Mechanical Engineering or related fields (Information Engineering, Information Management, Data engineering, Applied Mathematics, Robot/Automation....etc).Experience in Hadoop ecosystem and SQL NoSQL databases.Experience in TypeScript/JavaScript, Kotlin, Java, F#, C/C++/C#, Rust, SQL or other relevant programming languagesBig Data Solutions development, data pipelines for batch and streaming applicationsDesired Experience Level:Experience in container and cloud-native solution (K8S/Docker, Istio, Argo CD, MongoDB, Redis, …etc)Experience in microservice implementation, conductor workflow implementation, Kafka queue implementation on K8S environmentExperience in tool connection to IT systems (IoT, Image/Voice, SECS/GEM, PLC/DCS, add-on sensors... etc)Experience in big data ecosystem (Hadoop, Spark, Cassendra...etc) and SQL NoSQL database (MariaDB, MongoDB, MinIO(S3)...etc).Experience in data orchestration among various data sources, data parallel processing, metadata data management, data quality assurance, data security and governance, and new data technology evaluation and enablement.Knowledge of object stores for image and semi/unstructured data.Experience in big data solutions development, data pipelines for batch and streaming applications.Experience in monitoring and analysis tools, such as Nagios, ELK, Splunk, and Grafana.Ability to design solutions independently based on high-level architecture. Cloud native deployment practices, specifically, containers and container orchestration platforms.